The invention relates to a 
point cloud data based single tree three-
dimensional modeling and morphological parameter extracting method. The 
point cloud data based single tree three-
dimensional modeling and morphological parameter extracting method comprises obtaining three-dimensional 
surface point cloud data of 
high density standing trees through a three-dimensional 
scanner or other live-action measuring 
modes, calculating the 
shortest distance from points to root nodes through a k-
nearest neighbor graph, performing 
hierarchical clustering on the data according to distance, enabling centers of clustering hierarchies to be served as framework points of a limb 
system and meanwhile extracting corresponding semi-
diameter of the framework points; connecting the framework points to establish a topological structure of branches and grading the branches; performing three-dimensional geometrical reconstruction on branches through a generalized cylinder body; adding leaf models to the limb 
system to form into a vivid three-dimensional single tree model; extracting height of trees, 
diameter of breast height and crown breadth of the standing trees in the 
point cloud. The point 
cloud data based single tree three-
dimensional modeling and morphological parameter extracting method can rapidly and semi-automatically extract tree important geometrical parameters and 
topological information to form into the high vivid single tree geometric model and has wide application prospects and values in fields such as 
agriculture and 
forestry survey, ecological research and 
landscape planning.